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  • Machine learning techniques for the detection of shockable rhythms in automated external defibrillators 

    Figuera, Carlos; Irusta, Unai; Morgado, Eduardo; Aramendi, Elisabete; Ayala, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso-Atienza, Felipe (Journal article; Peer reviewed, 2016-07)
    Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ...
  • A secure user authentication protocol for sensor network in data capturing 

    Quan, Zhou; Chumning, Tan; Chunming, Rong; Xianghan, Zhen (Journal article; Peer reviewed, 2015-04)
    Sensor network is an important approach of data capturing. User authentication is a critical security issue for sensor networks because sensor nodes are deployed in an open and unattended environment, leaving them possible ...
  • A risk assessment model for selecting cloud service providers 

    Cayirci, Erdal; Garaga, Alexandr; Santana de Oliveira, Anderson; Roudier, Yves (Journal article; Peer reviewed, 2016-09)
    The Cloud Adoption Risk Assessment Model is designed to help cloud customers in assessing the risks that they face by selecting a specific cloud service provider. It evaluates background information obtained from cloud ...
  • Revisiting Petri Net Modeling of the Cigarette Smokers' Problem: A GPenSIM Approach 

    Davidrajuh, Reggie (Conference object; Peer reviewed, 2013-11)
    Petri Nets is a family of modeling formalisms, with different interpretations and abstraction levels; the Petri nets family of modeling formalisms includes ordinary Petri Net, generalized Petri Net, and also all other ...
  • Activity-Oriented Petri Net for scheduling of resources 

    Davidrajuh, Reggie (Conference object, 2012-10)
    This work presents a new methodology for modeling discrete systems in which activities compete for resources. The new methodology known as Activity-Oriented Petri Net (AOPN) allows modelers to concentrate on modeling ...
  • White Matter Lesions and Pattern Recognition in MRI of Neurodegenerative Dementia 

    Oppedal, Ketil (PhD thesis UiS;, Doctoral thesis, 2016-11-03)
    Introduction Expected age is increasing globally and dementia is a common outcome for an increasing number of people. Dementia is a demanding syndrome for the patient and the environment as well as it is costly for ...
  • Chest compression rate measurement from smartphone video 

    Engan, Kjersti; Hinna, Thomas; Ryen, Tom; Birkenes, Tonje; Myklebust, Helge (Journal article; Peer reviewed, 2016-08)
    Background: Out-of-hospital cardiac arrest is a life threatening situation where the first person performing cardiopulmonary resuscitation (CPR) most often is a bystander without medical training. Some existing smartphone ...
  • Forenklet programmering mot ABB-robot 

    Vasshus, Jan Marius (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
    Kommunikasjon med ABB-robot utføres gjennom to grensesnitt, PC SDK og Robot Web Services. Disse grensesnittene er utviklet av ABB. Grensesnittene er store og inneholder mye funksjonalitet. Det kan være vanskelig å finne ...
  • Gjenkjenning av kjøretøy ved inn- og utkjøring av tunneler 

    Erik, Sudland (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-07-15)
    Flere granskningsrapporter av tunnelbranner de siste årene har konkludert med at det savnes en teknologi som kan gi sanntids posisjonsoversikt over antall kjøretøy og tilhørende personer i tunnelen. En slik oversikt kan ...
  • Comparison of Machine Learning Services 

    Nketah, Gabriel (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
    In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ...
  • Text Pattern Discovery and Extraction 

    Morten, Waersland (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    This thesis presents a technique for discovering and extracting unknown patterns for structured data. There is no need for pre-knowledge to be able to discover patterns. But by applying pre-knowledge these patterns can be ...
  • Fully Automated Graphical User Interface Testing with Virtual Machines 

    Dongjing, Liu (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    An approach, entitled fully automated GUI testing with virtual machines is proposed in the thesis. Currently, GUI testing relies a lot on human involvement due to its unique properties. The thesis tries to address the ...
  • Investigation of Delayless Subband Adaptive Filters within the Unified Framework 

    Le, Kjell (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
    Conventional subband adaptive filter (SAF) solved a complexity and convergence rate problem from long adaptive filter by doing adaptive filtering in subbands. The complexity is reduced because the subband adaptive filters ...
  • Goxos Reliable Datagram Protocol 

    Severinsen, Fredrik Wæhre (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
    Multiple computers working together as a single distributed system is becoming increasingly common. State machine replication is an approach used to ensure fault tolerance in such distributed systems. Goxos is a framework, ...
  • Integration of process optimization and diagnostic functions in a real-time system that supervises the automatic drilling of heterogeneous formation rocks 

    Mc Tiernan, Kevin (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-07-10)
    This thesis presents the technical challenges associated with creating an autonomous system for drilling in heterogeneous rock formations. And therein after describes the methods and solutions of which the UIS team used ...
  • Fusion-based information retrieval 

    Zhang, Shuo (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-14)
    Information retrieval technique assists us to extract information from a huge amount of information sources. Web search engine is a typically commercial system implementing information retrieval technique and receiving ...
  • Myocardial damage during mountain bike race - an analysis of data from Nordsjørittet 2014 (NEEDED study) 

    Oskal, Kay Raymond Jenssen (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    During Nordsjørittet 2014, blood samples, blood pressure and ECG were systematically gathered from over 1000 contestants. With this gathering of data, there is an opportunity to study the effects an endurance bike race ...
  • Training convolutional neural networks in virtual reality for grasp detection from 3D images 

    Dyrstad, Jonatan Sjølund (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    The focus of this project has been on training convolutional neural networks for grasp detection with synthetic data. Convolutional neural networks have had great success on a wide variety of computer vision tasks, but ...
  • Data Quality Indication for User Awareness and Automated Decision Making 

    Haaland, Emil (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    Enterprise Resource Planning (ERP) systems help organizations with administrating and planning various business related tasks and give insight with Key Performance Indicators. These mechanisms are highly dependent on being ...
  • Image processing and classification of urothelial carcinoma using tissue sample images 

    Urdal, Jarle (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
    Bladder cancer is the 6th most common cancer in the world, with 429.000 new incidents reported in 2012, of which urothelial carcinoma is the most common. Prognostic value of the current grading systems are low, with only ...

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